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Deception Detection

Papers

Showing 1–25 of 122 papers

TitleStatusHype
Literature Meets Data: A Synergistic Approach to Hypothesis GenerationCode2
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal LearningCode1
MDPE: A Multimodal Deception Dataset with Personality and Emotional CharacteristicsCode1
``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News DetectionCode1
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News DetectionCode1
The Mafiascum Dataset: A Large Text Corpus for Deception DetectionCode0
MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel ReviewsCode0
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model ExplanationsCode0
UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception DetectionCode0
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspectiveCode0
Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the WildCode0
Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and AnalysisCode0
Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches—0
Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection—0
A Tangled Web: The Faint Signals of Deception in Text - Boulder Lies and Truth Corpus (BLT-C)—0
A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection—0
AFFAKT: A Hierarchical Optimal Transport based Method for Affective Facial Knowledge Transfer in Video Deception Detection—0
Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies—0
Argument Formation in the Reasoning Process: Toward a Generic Model of Deception Detection—0
Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning—0
Building a Data Collection for Deception Research—0
Classification of deceptive opinions using a low dimensionality representation—0
CLiPS Stylometry Investigation (CSI) corpus: A Dutch corpus for the detection of age, gender, personality, sentiment and deception in text—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
Are you really looking at me? A Feature-Extraction Framework for Estimating Interpersonal Eye Gaze from Conventional Video—0
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